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Long gone are the days when companies could produce an innovative feature and reap the benefits for years to come. Now they have to experiment at a breakneck pace to stay competitive. Even a few years ago Amazon deployed software every 11.6 seconds. DevOps is the approach that makes this speed possible.

Benjamin Franklin once said, “if you fail to plan you are planning to fail”. But what plan does software development need? How to make a plan that will direct your workflows in the right direction? This is where the Software Development Life Cycle (SDLC) comes into play. SDLC makes the development process consistent and simplifies the technical support of IT projects.

DevOps is a mature philosophy that promises faster time to market and higher product quality. But how can you realize these benefits? You need to understand what metrics separate high-performing teams from average DevOps practitioners. This article will explain the essential DevOps metrics and how to measure them.

In a world jam-packed with digital solutions, there should not be the need to talk about the importance of quality assurance. The competition is too high and there’s no room for error.

5 years ago we started working with a leading US company that helps businesses improve their online reputation. Our DevOps team was first invited to perform infrastructure maintenance. Yet, it soon became apparent that the project required some major reworks, starting with a microservice architecture.

Half a year ago we were contacted by a fast-growing mobile bank. They needed a DevOps specialist to support their infrastructure. What started as a small maintenance job soon became the basis for many improvements we’ll discuss in this case study.

To get all the benefits out of test automation, you need to have a right test automation framework in place. Since every project is unique, the requirements, duration, and tool choice will vary. That’s why your primary goal is to select an automation framework that leads to smarter testing, productivity benefits, and better overall results in your particular project.

In September 2014 Apple had to pull back the latest iOS 8 update in less than an hour after its release. The update caused severe unlocking issues along with frozen updates, lost signal, and 67% more crashes. What’s unfortunate, the tech giant could’ve avoided this blunder entirely with regression testing.

Software testing is like health insurance – you don’t think you need it until you receive a massive bill. Just like insurance, there are many different types of software testing, so it often confuses business people. Let’s fix this confusion!

Scrum and Kanban are two of the most popular Agile frameworks. Both have their pros and cons. Both have proven their ability to produce great results in the face of high uncertainty. Yet, they shine in completely different situations. And here’s where the Kanban vs Scrum debate starts and goes on up until now.

The success of a software development project is closely related to which software development approach is used. Agile and Waterfall are two of the most popular types of software development methodologies today. But how are both of them managed and what is the difference?

We often deal with projects that face a high level of uncertainty. With networking applications, you can’t predict how many connections you’ll have in the future and how complex they’ll get. So it can be hard to pick an optimal tech stack. However, there might be a perfect database for such cases. And this database is called ArangoDB.